The adjective decadent is included in several lists of negative terms compiled for sentiment analysis systems, but how is the term used? I looked in real life data from customer reviews and news.
- … Eating one is good. Eating two is great. Eating three is decadent, and awesome on an
empty stomach. Eat four and you start to feel sick. …
- Love this amazing fusion dessert. Sounds exotic and looks soooo decadent. …
- A tailored take on the label’s romantic aesthetic, Elie Saab’s crepe jumpsuit is a
decadent choice for evening events
- So let’s all raise a glass and hope we get many more decades of this decadent local staple
- Dense and wickedly chocolatey, the decadent dessert is best shared for greater enjoyment.
- I’m surrounded by soft, glowing candles while enjoying a glass of rich red wine and a box
of decadent dark chocolate
- If you’re feeling decadent, put a pinch of crumbled bacon or a couple of sun-dried
tomatoes in an egg white omelet
- Come join us for some more decadent daytime disco and house partying
- … and many more examples
Almost none were negative. Most frequent topic was chocolate.
Today, I gave a hastily put together talk on my current experimentation on attitudinal adjectival expressions in the NLP group lunch. Fun, but somewhat rhapsodic, since the experiments are as of yet incomplete! (I will update when I have more to tell).
One of the things I wanted to stress is to think about the utility of introducing linguistic sophistication for practical information system purposes. I posited three levels of use cases for large scale text
- what are they talking about?
- how are they talking about it?
- what are they saying about it?
Slides are here.
On this day our position paper A proposal to use distributional models to analyse dolphin vocalization outlining our plans to work with dolphin vocalisation using distributional semantics was presented at the 1st International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots. The paper was presented by Mats Amundin, and co-authors were Robert Eklund, Henrik Hållsten, and Lars Molinder, who came up with the original idea.
Idag publicerar jag och ett antal vänner (“sju it- och mediedebattörer”) en text om transaktionstransparens, (något vi ser som eftersträvansvärt) på DN debatt. Detta i motsats till den informationsimbalans vi ser uppstår mellan informationsintensiva organisationer och de individer som har med dem att göra som kunder eller som medborgare. Vi ser att individer inte ser värdet på de data delar med sig, men inte heller har möjlighet att bedöma det värdet utan att få tillgång till liknande verktyg och liknande mängder data som organisationen själv har. Detta kommer inte att ske. Som motvikt till detta föreslår vi att företag och organisation som värdesätter information om sina kunder eller andra individer de interagerar med anger det värde de anser den informationen har som en del av sin ekonomiska redovisning. Det ger kunder möjlighet att bedöma vilket värde de data de delat med sig av har.
This coming academic year of 2017-18 I will be at Stanford University, at its Department of Linguistics. I am looking forward to tugging at some of the most interesting loose ends from the past few years of technology development at Gavagai in the hope of finding interesting seams to work!
Professor Martin Kay, who hosts my visit, took me in for an internship at Xerox PARC in 1991. Now he will be again pointing out the best directions to develop.
Today I had the pleasure to witness the public defense of Stanley Greenstein’s Ph D dissertation on legal implications of predictive modelling: “Our humanity exposed — Predictive modelling in a legal context” for which I was a co-supervisor on technical matters.
In his dissertation, Stanley gives an inventory of several legal frameworks which might be relevant for the effects predictive modelling might have on an individual. He discusses the risk of “potential harm” — harms which an individual might not even be aware have occurred, such as a somewhat higher interest rate or insurance payment, or not being selected for a job. He examines how European regulations on data protection and human rights are applicable to understanding such harms, and focusses on the target notion of “empowerment” as a legal concept to address the information imbalance between large organisations and individuals.
I was invited to give a guest lecture on technologies for social media analysis for students in a class on social media at KTH. The slides are here!